Soni Singh
Papers
1
Total Citations
31
H-Index
1
About
Soni Singh is a researcher in artificial intelligence and machine learning, with a primary focus on the practical implementation and comparative analysis of ML algorithms. Her most-cited work, "Machine Learning Techniques and Implementation of Different ML Algorithms" (2021), has garnered 31 citations, establishing her as a contributor to foundational ML education and applied methodology. In this paper, Singh provides a comprehensive overview of how systems learn from examples to improve performance automatically, bridging theoretical concepts with hands-on algorithmic deployment. Her research emphasizes the transformative potential of ML in enabling computers to evolve through experience, a core principle driving modern AI systems. Singh’s work is particularly valuable for students and practitioners seeking clear, implementation-focused guidance on diverse ML techniques. By demystifying complex algorithms and their real-world applications, she has helped democratize access to machine learning knowledge. Her contributions reflect a commitment to making AI more accessible and practically deployable, supporting the next generation of researchers and engineers in building intelligent, self-improving systems.
Research Focus
Key Achievements
Top Papers
- 1Machine Learning Techniques and Implementation of Different ML Algorithms31 citations · 2021